Clinical Business Intelligence Manager at Alignerr — NeverHard

Clinical Business Intelligence Manager (AI Training)About The Role What if your expertise in clinical analytics and business intelligence could directly shape how AI understands and reasons about healthcare data? We're looking for an experienced Clinical Business Intelligence Manager to lead analytics initiatives that sit at the intersection of healthcare and cutting-edge AI development. This is a fully remote, flexible contract role built for seasoned healthcare data professionals who know how to turn complex clinical and operational datasets into trusted, actionable insights. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Lead and mentor a business intelligence team in building dashboards, reports, and analytics that support clinical and operational decision-making Design, maintain, and optimize BI infrastructure — including data models, SQL queries, and reporting pipelines — ensuring accuracy, reliability, and performance Analyze clinical, operational, and performance data to uncover meaningful trends and support high-stakes decisions Translate complex healthcare datasets into clear, trusted insights that drive improvements in care delivery and organizational efficiency Collaborate with cross-functional teams to align analytics outputs with real-world clinical and business priorities Apply your domain expertise to evaluate, validate, and improve AI-generated outputs related to healthcare data and analytics Who You Are Experienced in healthcare or clinical analytics, business intelligence, or health data management Proven ability to design and manage end-to-end BI systems — dashboards, reporting pipelines, and data models Comfortable working with clinical, operational, and administrative datasets in regulated healthcare environments Skilled in SQL and familiar with modern BI and reporting tools A strong communicator who can translate technical findings into clear, compelling narratives for leadership audiences Self-directed and reliable when working independently in a remote, asynchronous environment Nice to Have Prior experience with data annotation, data quality review, or evaluation systems Familiarity with AI tools, large language models, or AI training workflows Background in health informatics, clinical operations, or population health analytics Experience working across multiple healthcare data domains — EHR, claims, operational, or financial Why Join Us Work on cutting-edge AI projects alongside leading research labs and AI teams Fully remote and flexible — work when and where it suits you Freelance autonomy with the structure of meaningful, high-impact work Direct exposure to how advanced AI models are built and trained using domain expertise like yours Contribute to work that sits at the frontier of AI and healthcare Potential for ongoing engagement and contract extension as new projects launch